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deepspeed \
--num_nodes=1 \
--num_gpus=8 \
--master_port=25001 \
llava/train/train_mem.py \
--deepspeed ./scripts/zero2.json \
--model_name_or_path mistralai/Mistral-7B-Instruct-v0.1 \
--version v1 \
--dataset_config /mnt/bn/algo-masp-nas-2/xiangchen/repo/LLaVA/llava/configs/gpt4v_increasing_ablation/finetune_videollava.yaml \
--vision_tower google/siglip-large-patch16-256 \
--pretrain_mm_mlp_adapter /mnt/bn/algo-masp-nas-2/xiangchen/model/masp_models/checkpoints/llava-pretrain-googlesiglip_projector/checkpoint-4000/mm_projector.bin \
--adapter_module_name none_compress_token_v1_64 \
--mm_vision_select_layer -2 \
--mm_use_start_end True \
--mm_use_patch_token False \
--image_aspect_ratio pad \
--num_token_per_image 64 \
--num_query_token 64 \
--bf16 True \
--output_dir /mnt/bn/masp-nas/xiangchen/model/masp_models/checkpoints/llava-mistral-googlesiglip_llava_800k \
--group_by_modality_length True \
--num_train_epochs 1 \
--per_device_train_batch_size 4 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 4 \
--evaluation_strategy "no" \
--save_strategy "steps" \
--save_steps 2000 \
--save_total_limit 1 \
--learning_rate 1e-5 \
--weight_decay 0. \
--warmup_ratio 0.03 \
--lr_scheduler_type "cosine" \
--logging_steps 1 \
--tf32 True \
--model_max_length 4096 \
--gradient_checkpointing True \
--dataloader_num_workers 2 \
--lazy_preprocess True \
--report_to none
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